Triple
T3679707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinhard Scheer |
E78080
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scheer
Scheer is a German surname most notably associated with Reinhard Scheer, a high-ranking Imperial German Navy admiral during World War I.
|
E380701
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Scheer | Statement: [Reinhard Scheer, familyName, Scheer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scheer Context triple: [Reinhard Scheer, familyName, Scheer]
-
A.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
B.
Schroeder
Schroeder is a character from the Peanuts comic strip known for his serious devotion to playing the piano and his admiration for Beethoven.
-
C.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
D.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
E.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scheer Triple: [Reinhard Scheer, familyName, Scheer]
Generated description
Scheer is a German surname most notably associated with Reinhard Scheer, a high-ranking Imperial German Navy admiral during World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scheer Target entity description: Scheer is a German surname most notably associated with Reinhard Scheer, a high-ranking Imperial German Navy admiral during World War I.
-
A.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
B.
Schroeder
Schroeder is a character from the Peanuts comic strip known for his serious devotion to playing the piano and his admiration for Beethoven.
-
C.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
D.
Krueger
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
E.
Buckley
Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49039308190b33082e2b58aa5cf |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3ae61908190beefd0df317b5eca |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c79cc8148190af8abfb393232a60 |
completed | March 14, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c94ccb5c819092d1ab8246e44108 |
completed | March 14, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:25 p.m.